• Journal of Industrial Convergence
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• v.22 no.10
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• pp.65-72
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• 2024

This study aims to analyzed the health behaviors, dietary behaviors, and physical activities of Korean adolescents and to identify the factors and influences of these behaviors on obesity and weight control. The subjects and methods of this study involved a secondary analysis using data from the 2023(19th) Korea Youth Risk Behavior Survey. Variables such as gender, age, education level, subjective health status, dietary behaviors, physical activity, obesity on weight control efforts were utilized, and statistical significance was confirmed using the SPSS. In terms of subjective body perception, reported feeling "slightly overweight(30.1%)", while "very overweight(7.5%)". The frequency of sweet beverage consumption was reported as "do not drink(6.2%)" and "once daily(10.4%)". The frequency of fast food consumption was notably high, "do not eat(6.7%)" and "1 to 2 times a week(56.7%)". Regarding physical activity in the past week, did not engage in physical activity for more than 60 minutes a day(31.8%), did not participate in high-intensity exercise(24.1%), and did not engage in strength training(50.6%). Conversely, in physical activity for more than 60 minutes daily(7.1%), in high-intensity physical activity daily(6.4%), and strength training daily(5.3%). The results showed that the number of days of strength training(𝛽=.131), high-intensity physical activity(𝛽=.069), days of physical activity(𝛽=.045), and frequency of sweet beverage consumption(𝛽=-.035) were identified as factors influencing weight control efforts(p<.001). Based on this study, we aims to suggest practical strategies for solving the problems of adolescent obesity and weight control, and to contribute to providing basic data necessary for the healthy growth and development of adolescents.

• Korean Journal of Environment and Ecology
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• v.30 no.1
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• pp.118-129
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• 2016

The purpose of this study was to offer the preliminary data for the development of forest therapy program. This exploratory study is about the development of forest healing program by identifying what is the forest healing program preferences of potential consumers and would be an important basis for the operation. The survey of interests and needs of 620 people on the forest therapy was analyzed. Using SPSS 21.0 program, statistical analysis, frequency analysis, T-test, One-way ANOVA, we looked at the differences in forest healing program preferences according to gender, age, occupation. Forest therapy program preference was found to vary depending on sex, age and job. First, according to gender, men preferred athletic in the forest and camping compared to women, and women showed a higher preference than men in the overall program. Second, depending on age, as compared to other age, for 20s; stress assessment & diagnosis, cooking in the forest, photo therapy in the forest, for 30s; walking in the forest, counseling, listening to lectures(stress-related or interpersonal relationships-related), communication-related lectures and vision quest, for 40s; meditation, viewing the forest, forest bathing wind bathing sun bathing, walking on barefoot in the forest, for 50s; breathing breathing exercises, yoga, mountaineering, climbing in silence, eating wild food, respectively, each of those programs were especially favored. Third, the forest healing program preference in accordance with the job is as follows. For students; stress assessment & diagnosis, cooking in the forest, etc., for teachers; walking in the forest, mountaineering, reading in the forest, viewing the forest, forest bathing wind bathing sun bathing, camping etc., for housewives; yoga, listening to the sound of water flowing, drinking herbal tea, eating wild food, for specialist researcher; breathing breathing exercises, climbing in silence, meditation, sleeping in the forest, respectively, each of those programs were especially favored. We expect the results of this study to be utilized as basic data for the development of forest therapy program targeting on adults.

• Korean Journal of Agricultural and Forest Meteorology
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• v.3 no.3
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• pp.135-142
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• 2001

This study attempts to categorizes the factors of forest fire occurrences based on regional meteorologic data and general forest no characteristics of 18 cities and guns in Kangwon province. lo accomplish this goal, some statistical analyses such as analysis of variance, correspondence analysis and multidimensional scaling were adopted. To reveal the forest fires pattern of study region, a categorization process was conducted by employing the quantification approach which modified and quantified the metric-data of fire occurrence dates. Also, The fire occurrence similarity was compared by using multidimensional scaling for each study region. The major results are summarized as follows: It was found that the meteorological factors emerged as different to each region are average and maximum temperature, minimum dew point temperature and average and maximum wind speed. In the result of correspondence analysis representing relationships between fire causes and study regions, Kangrung is caused by arsonist, Chulwon, Hwachen and Yanggu caused by military factor, Sokcho and Chunchen caused by the debris burning, and Samchuk caused by general man-caused fires, respectively. Finally, the forest fire occurrence pattern of this study regions were divided into five areas such as, group I including Samchuk, Kangryung, Chunchen, Wonju, Hongchen and Hhoingsung, group II including Donghae, Taebaek, Yangyang and Pyongchang, group III including Jungsun, Chulwon and Whachen, group Ⅵ including Gosung, Injae and Yanggu, and group V including Shokcho and Youngwol.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.4
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• pp.81-89
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• 2009

The seepage should be analyzed to design or reinforce the levees. The steady seepage analysis is an usual application in USA and European countries where the large scaled dams and levees are existed. However, Korea and Japan, where the reaching time is short, the excessive forces are applied on the levees at the short reaching time if the seepages are analyzed in steady condition. Accordingly, the unsteady analysis based on the variation of time is necessitated. In the unsteady analysis, the flood wave type is necessary. No criteria and standards, however, are derived for the unsteady seepage in Korea. In the study, the flood wave type is derived for the unsteady seepage. The major reliable flood surface data are collected in 5 stations including Jindong of the Nakdong river basin. The data are sorted in duration, and they are non-dimensionalized. The statistical method is also applied to derive the waves. To verify the study, the seepage is analyzed by the derived wave and applied to the prototype. The results are also compared with the Japanese Method. The errors between the hydraulic gradient and critical velocity method are $0{\sim}0.7%$, $0{\sim}0.7%$ at the Jindong, $1.6{\sim}4.0%$, $1.7{\sim}4.1%$ at the Hyunpoong, $0.6{\sim}3.6%$, $0.6{\sim}3.7%$ at the Waegwan, $2.0{\sim}8.1%$, $2.0{\sim}8.1%$ at the Nakdong, and $1.2{\sim}9.8%$, $1.3{\sim}9.9%$ at the Jeongam, respectively. The relationship($R^2$) between each method is relatively high as $0.983{\sim}0.999$. This means the results are more logical than the Japanese method, and the study is applicable to the design of hydraulic structures.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.529-540
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• 2021

This study is a test of gender differences between the importance of basic psychological needs and the components of love. The need for research is to verify the relationship between need and love. The purpose of this study is to serve as basic data for preparing a solution to the relationship between lovers and promoting love. Research participants targed a total of 193couples unmarried love couples, 386 person living in Seoul and Gyeonggi metropolitan areas. For the research tools, the basic psychological needs importance scale and components of love scale had been used. Regarding the analysis of the data, as a statistical analysis using SPSS 22, the t-verification, the correlation analysis, and the regression analysis method had been carried out. As a result of the analysis, regarding the importance of the basic psychological needs, regarding the relationship, the females were meaningfully (t=-3.528, p<.01) higher than the males. And, among components of love, regarding the passion and the commitment, the males were meaningfully (t=3.588, p<.001) higher than the females. And, regarding the correlations between the main variables, it appeared that the basic psychological needs importance of the males has a correlation with the components of love. And, regarding the females, it appeared that, among the basic psychological needs importance, only the relationship and the capability have the relationships with the components of love. Regarding the influence of the basic psychological needs importance on the component of love, it appeared that the relationship need importance of the males has a positive (+) influence on the component of love. And, regarding the autonomy need of the males, it appeared that, among the component of love, it has a negative (-) influence on the passion and the commitment. Regarding the females, it appeared that, differently from the males, only the need for a relationship has a positive (+) influence on the components of love. It was found that women's relationship needs had a positive effect on the components of love, but women's desire for autonomy did not affect the components of love, unlike men. Therefore, the importance of the basic psychological needs of love couples influenced the love relationship, and the relationship between the variables showed gender differences. If love couple understands and meets the importance of each other different basic psychological needs when a conflict arises, it will be a helpful resource for resolving conflict and promoting love.

• Korean Journal of Environment and Ecology
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• v.36 no.2
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• pp.139-149
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• 2022

This study aimed to prepare basic data for protecting the habitat of Fairy Pitta Pitta nympha and coping with climate change by detecting songs with bio-acoustic recording technology and identifying phenological characteristics in protected areas in Korea. The study sites were 36 protected areas nationwide. Data were collected between January and December 2019, and the analysis period was from May 1 to August 31, 2019. The main results are described as follows. Firstly, songs were detected in 22 out of 36 study sites. Frequency analysis results of songs show that high frequency was observed in southern inland, including Jeju island, and the area with the highest latitude was Seoraksan National Park. Secondly, the first song was observed in Hallyeohaesang National Park Geumsan on May 14, 2019, and the last song was observed in Ungok wetland in Gochang on August 6, 2019. Thirdly, circadian rhythm analysis results of songs show that the frequency rapidly increased at five o'clock in the morning, peaked at six o'clock, and then decreased afterward. Fourthly, seasonal cycle analysis results of songs show that they were observed from May 14, 2019 to August 6, and the day with the highest accumulated frequency of songs was June 3, 2019 (Julian date: 154). The average temperature of the day the songs were detected was 17.4℃, the average precipitation was 0.02mm, and the average humidity was 82.6%. Fifthly, a correlation analysis result between Fairy Pitta's songs and meteorological factors shows that temperature indicated a negative correlation with Fairy Pitta's songs (p<0.001), but precipitation (p=0.053) and humidity (p=0.077) did not indicate a statistical significance (df=471). This study is significant in that it confirmed the distribution of Fairy Pitta's songs using bio-acoustic recording technology in protected areas nationwide and identified their ecological characteristics by precisely analyzing the relationship between the song period and meteorological factors.

• Journal of Preventive Medicine and Public Health
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• v.40 no.5
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• pp.363-370
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• 2007

Objectives: The principal objective of this study was to determine the relationship between maternal exposure to air pollution and low birth weight and to propose a possible environmental health surveillance system for low birth weight. Methods: We acquired air monitoring data for Seoul from the Ministry of Environment, the meteorological data from the Korean Meteorological Administration, the exposure assessments from the National Institute of Environmental Research, and the birth data from the Korean National Statistical Office between January 1, 2002 and December 31, 2003. The final birth data were limited to singletons within $37{\sim}44$ weeks of gestational age. We defined the Low Birth Weight (LBW) group as infants with birth weights of less than 2500g and calculated the annual LBW rate by district. The air monitoring data were measured for $CO,\;SO_2,\;NO_2,\;and\;PM_{10}$ concentrations at 27 monitoring stations in Seoul. We utilized two models to evaluate the effects of air pollution on low birth weight: the first was the relationship between the annual concentration of air pollution and low birth weight (LBW) by individual and district, and the second involved a GIS exposure model constructed by Arc View 3.1. Results: LBW risk (by Gu, or district) was significantly increased to $1.113(95%\;CI=1.111{\sim}1.116)\;for\;CO,\;1.004(95%\;CI=1.003{\sim}1.005)\;for\;NO_2,\;1.202(95%\;CI=1.199{\sim}1.206\;for\;SO_2,\;and\;1.077(95%\;CI=1.075{\sim}1.078)\;\;for\;PM_{10}$ with each interquartile range change. Personal LBW risk was significantly increased to $1.081(95%\;CI=1.002{\sim}1.166)\;for\;CO,\;1.145(95%\;CI=1.036{\sim}1.267)\;for\;SO_2,\;and\;1.053(95%\;CI=1.002{\sim}1.108)\;for\;PM_{10}$ with each interquartile range change. Personal LBW risk was increased to $1.003(95%\;CI=0.954{\sim}1.055)\;for\;NO_2$, but this was not statistically significant. The air pollution concentrations predicted by GIS positively correlated with the numbers of low birth weights, particularly in highly polluted regions. Conclusions: Environmental health surveillance is a systemic, ongoing collection effort including the analysis of data correlated with environmentally-associated diseases and exposures. In addition. environmental health surveillance allows for a timely dissemination of information to those who require that information in order to take effective action. GIS modeling is crucially important for this purpose, and thus we attempted to develop a GIS-based environmental surveillance system for low birth weight.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.145-148
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• 2006

This study aimed at preventing women from suffering from health problems and stress due to excessive lookism and encouraging them to participate in sports activities to form desirable body image and eventually to live a healthy and sound life. To achieve this goal, this study formed a population with members of sports centers located in Seoul and Daejeon areas as of 2006 and made a sample of 450 participants in physical exercise at a sports center through stratified cluster random sampling and that of 450 non-participants through a survey with mothers and sisters of those students from elementary and secondary schools within the areas for sampling the participants' group, thereby analyzing the data on a total of 900 persons. A questionnaire was used as a tool to collect data; a reliability test presented weight-, health-, and figure-related factors as a=.807, a=.819, and a=.784, respectively. This study used such statistical analysis methods as t-test, One-way ANOVA, and the Analysis of Covariance to analyze data. This study produced the following conclusions through these research methods and procedure. Pticipation in physical exercise has a positive effect on body image. Pticipation in physical exercise at a sports center show higher satisfaction with body image than non-participats.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.1
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• pp.78-86
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• 2009

Recently, there seems to besome problems in the urban visual landscape as a result of continuous economic growth and industrial development. At the same time, the public has begun to be aware of the importance of visual resources, and the necessity for visual landscape conservation and improvement. Therefore, the development of evaluative indicators for systematic visual landscape planning and design is urgent. The purpose ofthis study is to discover evaluative models and indicators for the diagnosis of urban visual landscapes. This study included the selection of 18 physical indicators(statistical data) by literature reviews, adoption of field and questionnaire surveys at 12 autonomous districts in Seoul and surrounding major mountain valleys and river streams(i.e. Mt. Nam and Han-River). The content of the questionnaire is scenic beauty. Moreover, the linear regression analysis between the scenic beauty mean scores and the physical indicator scores figure out the scenic beauty prediction model. As this study suggests, the most important indicators in urban visual landscapes are 'Greens', 'Park' and 'the number of apartment buildings(higher than 20 stories).' Based on the results, greens and parks should be priority elements to considerin urban landscape planning and design. Moreover, since the number of apartment buildings that are higher than 20 stories has a negative correlation with the scenic beauty score, it can be used as basic data for landscape planning. For the scenic beauty prediction models and evaluative indicators suggest a direction of urban management, each indicator becomes basic data for visual landscape planning and design. In following studies, if physical indicators and case studies are added, the scenic beauty prediction models and evaluative indicators could be more synthetic and systematic. Moreover, the development of physical indicators in three dimensions(3D)(i.e. results from visual district analysis, view surface analysis) could be expected to obtain more general and varied results.

• Environmental and Resource Economics Review
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• v.18 no.2
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• pp.279-309
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• 2009

Greenhouse gas emissions should be precisely forecast to reduce the emissions from industrial production processes. This study calculated the direct and indirect $CO_2$ emission intensities of 401 industries using the Input-Output tables 2003 and statistical data on the amount of energy use. This study had some limitations in drawing study findings because overseas data were used given the lack of domestic data. Other limiting factors included the oil distribution problems in the oil refinery sector, re-review of carbon neutral, and insufficient consideration of waste treatment. Nonetheless, this study is very meaningful since the direct and indirect $CO_2$ emission intensities of 401 industries were calculated. Specifically, this study considered from the zero-waste perspective the effects of waste, which attract interest worldwide since coke gas and gas from the steel industry are obtained as byproducts for the first time in Korea. According to the results of the analysis of $CO_2$ emission intensity per industry, typical industries whose indirect $CO_2$ emission intensity is high include crude steel making, Remicon, steel wire rods & track rail, cast iron, and iron reinforcing rods & bar steel. These industries produce products using the raw materials produced in the industrial sector whose $CO_2$ emission intensity is high. The representative industries whose direct $CO_2$ emission intensity is high include cement, pig iron, lime & plaster products, andcoal-based compounds. These industries extract raw ore from nature and refine them into raw materials that are useful in other industries. The findings in this study can be effectively used for the following case: estimation of target $CO_2$ emission reduction level reflecting each industrial sector's characteristics, calculation of potential emission reduction of each policy to reduce $CO_2$ emissions, identification of a firm's $CO_2$ emission level, and setting of the target level of emission reduction. Moreover, the findings in this study can be utilized widely in fields such as System of integrated Environmental and Economic Accounting(SEEA) and Material Flow Analysis(MFA) as the current topic of research in Korea.